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FareOS vs Legacy booking engines · Traditional travel booking software

FareOS vs legacy booking engines — the case for a modern distribution platform

Many travel agencies still run on booking engines built 10–15 years ago — .NET or PHP stacks, single-GDS connections, no AI, no mobile app, no sub-agent hierarchy. FareOS was built in 2024 on Go microservices, purpose-designed for the post-legacy era.

Feature comparison

FareOS vs Legacy booking engines

FeatureFareOSLegacy booking engines
Tech stackGo microservices, React, AI-native (2024 build)Typically .NET or PHP, monolithic (2008–2015 era)
AI integrationeva — Anthropic Claude-powered AI assistant built inremoveNo
NDC supportAmadeus NDC, Sabre NDC, direct airline NDCOften absent or bolted on
LCC direct connections6 direct LCCs (IndiGo, Akasa, Air Arabia, etc.)Rarely; usually only via aggregators
Multi-GDS searchAmadeus + Sabre + Travelport simultaneouslySingle GDS typically
Hotel aggregation6 aggregators, 1.4M+ propertiesOne or two hotel feeds, limited properties
Sub-agent managementFull hierarchy, markup, credit linesBasic or absent
Mobile appcheck_circleYesRarely
Refund automationRefund Mitra: AI-driven refund workflowManual refund processing typical
Back-office integrationFareOS SME: accounting, CRM, VAT/GST, BSP — all connectedSeparate back-office tools, manual reconciliation
New supplier onboarding2–4 weeks via FareOS provider protocolMonths, if possible at all

check_circleWhere FareOS wins

  • arrow_forwardBuilt in 2024 on Go microservices — not a legacy .NET platform retrofitted for the modern era
  • arrow_forwardAI-native from day one: eva (Anthropic Claude) handles queries, anomalies, and workflow automation
  • arrow_forwardNDC and direct LCC content that legacy engines often cannot access
  • arrow_forwardMulti-GDS search (Amadeus + Sabre + Travelport) in a single query
  • arrow_forwardNew supplier connection in 2–4 weeks — legacy engines often take months
  • arrow_forwardComplete back-office in FareOS SME: connected to the booking engine, not a separate system
  • arrow_forwardIndia's first registered Anthropic Claude Partner for Travel Tech

infoWhere Legacy booking engines may fit better

  • arrow_forwardExisting agencies may have years of booking history in a legacy system
  • arrow_forwardSome legacy engines have deep customisation for specific agency workflows

Our take

Which platform fits your agency?

If your agency is evaluating a platform change, FareOS provides a materially more capable starting point: modern architecture, multi-source inventory, AI built in, and a complete back-office. The main transition cost is migrating historical data and retraining agents — which the ecogo.ai team supports as part of onboarding.

FareOS vs Legacy booking engines

Common questions

Can FareOS handle the full booking workflow that a legacy engine manages today?add

Yes. FareOS covers the complete lifecycle: search, review, hold, book, ticket, void, refund, reissue, seat maps, ancillaries, cancellations, and post-booking management. It also includes sub-agent management, markup, and the FareOS SME back-office.

How disruptive is switching from a legacy booking engine to FareOS?add

Switching booking engines requires retraining agents and migrating historical data. The ecogo.ai team handles the onboarding process directly — supplier setup, data migration, and agent training are all part of the deployment. Most agencies are live within a few weeks.

Is FareOS suitable for agencies that currently use a single GDS?add

Yes. Single-GDS agencies typically see an immediate improvement in fare coverage when they switch to FareOS — adding LCC direct, NDC content, and the other two major GDSs in the same search. The transition from a single-GDS mindset to multi-source is one of the biggest productivity gains agencies report.

See FareOS in action — not just on a comparison page

Book a platform review and the team will show you the live system: multi-supplier search, booking flow, sub-agent management, and back-office — all in one session.